Aside

Contact

Open source

Package {ggbrookings} - Author, maintainer.

Programming skills

R using the tidyverse

Git and GitHub

Markdown

HTML and CSS

Python

Languages

English: Native

Spanish: Native

Portuguese: Proficient

Projects

I have made contributions to #TidyTuesday

Disclaimer

Made with the R packages pagedown and datadrivencv.

The source code is available on github.com/malcalakovalski/cv.

Main

Manuel Alcalá Kovalski

Education

B.A., Mathematical Economics (minor in Statistics)

University of Pennsylvania, Class of 2019

Philadelphia, PA

N/A

  • Relevant coursework: Probability, Mathematical Statistics, Stochastic Processes, Computer Programming, Econometrics, Microeconometrics, Microeconomic theory (Graduate), and Macro-modeling.

Work Experience

Senior Research Assistant

The Brookings Institution
Hutchins Center on Fiscal & Monetary Policy

Washington, D.C.

Current - 2019

  • Authored the official R package for Brookings branded ggplots
  • Led data science trainings on R package development, data manipulation in R using the Tidyverse, and version control using Git and GitHub for 65+ staff across the entire organization
  • Developed an R Shiny app which scrapes over 20 economic research websites to centralize information on new working papers. This app is deployed weekly to sort and identify content for the Hutchins Roundup blog since 2019.
  • Created data visualizations used in blog posts, conferences, and internal reports to communicate insights from macroeconomic data in an accessible manner.
  • Produced and delivered parametrized reports to evaluate our GDP forecast during monthly Fiscal Impact Measure updates.
  • Automated code testing, linting, and running using CI/CD pipelines

Summer Undergraduate Minority Research Scholar

Leonard Davis Institute

University of Pennsylvania

2018

  • Analyzed data on 322,264 hospital admissions admissions using logistic regression in Stata to undestand how physicians respond to cost-sharing programs.
  • Cleaned and summarized data from a randomized control trial evaluating the effectiveness of data-driven adaptive learning approaches.

Undergraduate Researcher

Health Management and Policy Department

University of Miami

2018 - 2017

  • Conducted data analysis on projects related to health services research using R, Stata, and Python
  • Performed data cleaning and regression analysis using data from the Medical Expenditure Panel Survey, Behavioral Risk Factor Surveillance System, and the National Longitudinal Study of Adolescent to Adult Health.

Academic Articles

Blog Posts

How did post-2008 reforms affect the muni bond market?

N/A

N/A

2020